Triple
T11921572
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kayunga District |
E283668
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object |
Buyende District
Buyende District is an administrative district in eastern Uganda, known for its rural communities and location along the shores of Lake Kyoga.
|
E954645
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Buyende District | Statement: [Kayunga District, borders, Buyende District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Buyende District Context triple: [Kayunga District, borders, Buyende District]
-
A.
Saha District
Saha District is an administrative district (gu) in the southwestern part of Busan, South Korea, known for its coastal areas and residential neighborhoods.
-
B.
Sawkai District
Sawkai District is an administrative district located within Kunar Province in eastern Afghanistan, near the border with Pakistan.
-
C.
Duji District
Duji District is an administrative urban district of Huaibei City in Anhui Province, eastern China.
-
D.
Mitte district
Mitte district is a central borough of Berlin known for its historic landmarks, government buildings, and cultural institutions.
-
E.
Andar District
Andar District is an administrative district in southeastern Afghanistan known for its predominantly rural communities and history of conflict within Ghazni Province.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Buyende District Triple: [Kayunga District, borders, Buyende District]
Generated description
Buyende District is an administrative district in eastern Uganda, known for its rural communities and location along the shores of Lake Kyoga.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Buyende District Target entity description: Buyende District is an administrative district in eastern Uganda, known for its rural communities and location along the shores of Lake Kyoga.
-
A.
Saha District
Saha District is an administrative district (gu) in the southwestern part of Busan, South Korea, known for its coastal areas and residential neighborhoods.
-
B.
Sawkai District
Sawkai District is an administrative district located within Kunar Province in eastern Afghanistan, near the border with Pakistan.
-
C.
Duji District
Duji District is an administrative urban district of Huaibei City in Anhui Province, eastern China.
-
D.
Mitte district
Mitte district is a central borough of Berlin known for its historic landmarks, government buildings, and cultural institutions.
-
E.
Andar District
Andar District is an administrative district in southeastern Afghanistan known for its predominantly rural communities and history of conflict within Ghazni Province.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8e8e1b08481909ed291667035f330 |
completed | April 10, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f44033c288819099587af3f895eac5 |
completed | May 1, 2026, 5:54 a.m. |
| NEDg | Description generation | batch_69f448fa8eec81909fe6ac0902f46998 |
completed | May 1, 2026, 6:32 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f44aef15148190ba8090681b921ffa |
completed | May 1, 2026, 6:40 a.m. |
Created at: April 8, 2026, 9:45 p.m.